Job Opportunity: Quantitative Researcher
A leading quantitative hedge fund based in Geneva, Switzerland is currently seeking talented quantitative PhD graduates to join our innovative research and trading team. Successful candidates will become part of an elite group of algorithmic trading professionals, embarking on a career path towards portfolio management. Our firm specializes in alternative asset classes and has established a significant presence in the foreign exchange and futures markets.
Role Description
As a quantitative researcher, you will:
- Collaborate with a close-knit team of PhD researchers to develop systematic trading strategies in foreign exchange, futures, and equity markets.
- Be mentored by experienced senior portfolio managers skilled in algorithmic trading and quantitative fund management.
- Conduct innovative research into trading signals, statistical prediction models, portfolio construction techniques, and risk-return optimization.
- Analyze existing trading strategies, seeking opportunities to enhance performance in terms of returns profile, execution efficiency, and capacity.
- Review academic literature, plan and execute experiments, and document and share findings with the team.
- Gain a comprehensive understanding of relevant markets, trading venues, liquidity sources, and other market participants.
- Contribute to programming the simulation codebase utilized to analyze potential strategies, including conducting backtests and assessing statistical characteristics.
- Develop infrastructure to investigate the performance characteristics of live trading strategies.
We offer highly competitive compensation for the right candidates.
Requirements
- Excellent interpersonal and communication skills.
- Proficiency in spoken and written English.
- A PhD in a quantitative field such as Engineering, Physics, Computer Science, or Mathematics from a top-tier institution.
- A proven track record of conducting creative, independent quantitative research.
- Strong intuition and demonstrated proficiency in quantitative disciplines such as statistical modeling, machine learning, optimization, or financial engineering.
- Experience in programming; familiarity with a functional programming language is a plus.
- Financial knowledge or experience is advantageous but not mandatory.
Apply online using the form below. Please note that only applications matching the job profile will be considered.